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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 15311
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    Explanations

    references to moisture and dampness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ıza
    -0.70
    ConstraintMaker
    -0.60
    Crossref
    -0.55
    /**
    -0.55
     supersonic
    -0.52
     cherchés
    -0.51
     BorderSide
    -0.50
    Scher
    -0.50
    onaire
    -0.49
    WebMethod
    -0.48
    POSITIVE LOGITS
     wet
    1.14
     moist
    1.08
     Wet
    0.98
     moisture
    0.96
    Moisture
    0.94
    wet
    0.93
    Wet
    0.92
     soggy
    0.90
     Moisture
    0.89
     damp
    0.89
    Activations Density 0.240%

    No Known Activations